code: def configure_gradient_clipping(self, *args, **kwargs):
      # let lightning clip
      super().configure_gradient_clipping(*args, **kwargs)
      # check clipping worked as expected
      self.check_grads_clipped()
  
imports: import os
  import re
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins import MixedPrecision
  from torch import Tensor
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 5 for calling the TestPrecisionModel obj's underlying member method code with example usage: obj.configure_gradient_clipping() without return types